A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure–ground organization.
Abstract In 1912, Max Wertheimer published his paper on phi motion, widely recognized as
the start of Gestalt psychology. Because of its continued relevance in modern psychology …
the start of Gestalt psychology. Because of its continued relevance in modern psychology …
[HTML][HTML] Contributions of ideal observer theory to vision research
WS Geisler - Vision research, 2011 - Elsevier
An ideal observer is a hypothetical device that performs optimally in a perceptual task given
the available information. The theory of ideal observers has proven to be a powerful and …
the available information. The theory of ideal observers has proven to be a powerful and …
[图书][B] Natural image statistics: A probabilistic approach to early computational vision.
A Hyvärinen, J Hurri, PO Hoyer - 2009 - books.google.com
Aims and Scope This book is both an introductory textbook and a research monograph on
modeling the statistical structure of natural images. In very simple terms,“natural images” are …
modeling the statistical structure of natural images. In very simple terms,“natural images” are …
[HTML][HTML] Ecological statistics of Gestalt laws for the perceptual organization of contours
JH Elder, RM Goldberg - Journal of Vision, 2002 - jov.arvojournals.org
Although numerous studies have measured the strength of visual grouping cues for
controlled psychophysical stimuli, little is known about the statistical utility of these various …
controlled psychophysical stimuli, little is known about the statistical utility of these various …
[HTML][HTML] A systematic comparison between visual cues for boundary detection
The detection of object boundaries is a critical first step for many visual processing tasks.
Multiple cues (we consider luminance, color, motion and binocular disparity) available in the …
Multiple cues (we consider luminance, color, motion and binocular disparity) available in the …
A hierarchical Bayesian model for learning nonlinear statistical regularities in nonstationary natural signals
Y Karklin, MS Lewicki - Neural computation, 2005 - ieeexplore.ieee.org
Capturing statistical regularities in complex, high-dimensional data is an important problem
in machine learning and signal processing. Models such as principal component analysis …
in machine learning and signal processing. Models such as principal component analysis …
[HTML][HTML] A multi-layer sparse coding network learns contour coding from natural images
PO Hoyer, A Hyvärinen - Vision research, 2002 - Elsevier
An important approach in visual neuroscience considers how the function of the early visual
system relates to the statistics of its natural input. Previous studies have shown how many …
system relates to the statistics of its natural input. Previous studies have shown how many …
[HTML][HTML] The southampton-york natural scenes (syns) dataset: Statistics of surface attitude
Recovering 3D scenes from 2D images is an under-constrained task; optimal estimation
depends upon knowledge of the underlying scene statistics. Here we introduce the …
depends upon knowledge of the underlying scene statistics. Here we introduce the …
[HTML][HTML] Perceptual organization in the tilt illusion
O Schwartz, TJ Sejnowski, P Dayan - Journal of Vision, 2009 - jov.arvojournals.org
The tilt illusion is a paradigmatic example of contextual influences on perception. We
analyze it in terms of a neural population model for the perceptual organization of visual …
analyze it in terms of a neural population model for the perceptual organization of visual …
[HTML][HTML] Neural networks trained on natural scenes exhibit gestalt closure
The Gestalt laws of perceptual organization, which describe how visual elements in an
image are grouped and interpreted, have traditionally been thought of as innate. Given past …
image are grouped and interpreted, have traditionally been thought of as innate. Given past …